Loomem
About
Open-source context layer for LLM agents — a single Rust binary over MCP with local-first memory, hybrid retrieval, and bitemporal facts. No external database.
Details
- Author
- vvooki-sys
- Downloads
- 214
- Categories
- Other
Jump to
- One binary with no external services or databases.
- 14 memory_* MCP tools over streamable HTTP.
- Local-first and offline with on-device ONNX embeddings.
- Hybrid retrieval: BM25 + vector + entity-graph weighted fusion.
- Bitemporal facts: distinguishes when a fact was learned vs. when it happened.
- Background consolidation (“dreaming”) merges facts, resolves contradictions, and decays stale entries.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
LoomemCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install the binary with the install script, then run loomem-server from the ~/.loomem directory. Connect any MCP client, for example Claude, with claude mcp add --transport http loomem http://localhost:3030/mcp.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"loomem": {
"loomem": {
"command": "loomem-cli",
"args": [
"mcp-stdio",
"--url",
"http://127.0.0.1:3030"
]
}
}
}
}
McpServers
{
"loomem": {
"command": "loomem-cli",
"args": [
"mcp-stdio",
"--url",
"http://127.0.0.1:3030"
]
}
}
Loomem
Open-source context layer for LLM agents — a single Rust binary served over MCP that feeds Claude, ChatGPT, Codex, or any MCP client the facts, decisions, and history they need. Local-first, with no external database.What it does
- One binary, no external services — RocksDB + Tantivy embedded; no separate vector or graph database to run. - MCP-native — 14memory_* tools over streamable HTTP.
- Local-first & offline — on-device ONNX embeddings; your first entry needs no internet.
- Hybrid retrieval — BM25 + vector + entity-graph, weighted fusion.
- Bitemporal facts — when a fact was learned vs when it actually happened.
- Background consolidation ("dreaming") — merges facts, resolves contradictions, lets stale ones decay.
- Apache-2.0, written in Rust.
Install & connect
curl -fsSL https://raw.githubusercontent.com/vvooki-sys/loomem/main/install.sh | sh cd ~/.loomem && loomem-server claude mcp add --transport http loomem http://localhost:3030/mcpLinks
- Website: https://loomem.ai - Compare (vs Mem0 / Zep / Letta / cognee): https://loomem.ai/compare.html - Benchmarks: https://loomem.ai/benchmarks.html - GitHub: https://github.com/vvooki-sys/loomemSign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.



